The algorithm that provides traffic congestion information per route is proposed in this thesis. As an algorithm that judges the traffic congestion rate between routes, this algorithm applies spot speed data of detection zones. The traffic data through detection systems is being gathered in real-time and transmitted to a controller every 5 minutes. Traffic congestion status is immediately determined by spot speed of detection zones. For each route traffic status, the algorithm that defines congestion/non-congestion status by associating each pattern of detection zone is applied.

The purpose of this research was to evaluate the fundamental properties of asphalt paving materials with recycled waste concrete and to recommend the proper mixing ratio of recycled waste concrete (up to 50%). Couple of laboratory tests were carried out to ensure the characteristic of asphalt mixture with recycled waste concrete. Resilient modulus test, indirect tensile strength test, and two different types of creep test, such as an uniaxial static creep test and an incremental static creep test, were carried, out to determine the characteristic of asphalt mixture. It was not enough to ensure the proper characteristic of asphalt mixture with only waste concrete, due to relatively high rutting potential and low stiffness. However, the blended asphalt mixture with waste concrete and common aggregate showed the better performance. In order to determine the rutting potential of asphalt mixture, VESYS testing procedure was adopted in this research. From the prediction of rutting potential by VESYS, the blended mixtures with waste concrete and common aggregate showed better performance than the mixture with recycled waste concrete only.

The object of this paper is to propose the determinate range of intersection area and to analyze intersection area composed of intersections, junctions, ramps, crosswalks, and the like. As yet few investigations have been made of the boundary between link and node (intersection area). The one requires a single function, while the other multiple function on the highway network. The ranges of are respectively presented according to 6 types of intersections classified by operation pattern. More than 40 volumes literatures related to a road traffic branch were examined. By means of the literatures research, over 60 variables individually defined the length of intersection are selected. Accordingly the quantitatively determinate ranges of 50m, 100m, 200m, 500m, 1,000m are sorted by statistics analysis.

Some methods different from those of AASHTO guide were applied to ameliorate the load transfer coefficient. Among these methods, there were not only the backcalculation of elastic modulus(I) and subgrade reaction modulus(K) in jointed concrete pavement but also the improvement of stress estimation method and thinking over the curling effect of concrete slab. The results from the analysis of m (Falling Weight Deflectometer) data can be summarized as follows; (1) J-Factor of 88 Express Highway ranged from 1.7 to 3.2 and it was 3.2 in 95% reliability level, (2) J-Factor of Joong-Ang Express Highway ranged from 1.6 to 3.0 and it was 2.9 in 95% reliability level, (3) It is necessary to adjust deflection data due to curling effect in concrete slab.

For road safety, an approach based on design speed has been used in the process of geometric design. However, drivers always do not drive below the design speed, and select their speed based on geographical features, roadside condition, road alignment, weather condition, etc. In this paper, hypotheses of previous studies were verified that design speed based approach did not reflect driver's actual speed, and therefore a complementary measure was presented. Speed data in rural 2-lane highways were collected, and an estimation model of maximum speed change during driving in curve section was developed. The relationship between accident data in rural 2-lane highways and maximum speed change was analyzed. These analyzed models and results can be utilized for judging the safety of highway curve sections.

The Annual Average Daily Traffic (AADT) is useful and important information in highway planning, design, and operational analysis. If permanent-count data is available, AADT can be easily calculated. If are not, it should be estimated in consideration with day-of-week variation and seasonal variation based on surveyed 24-hour traffic volume (). In this study, firstly reliability and efficacy of the existing estimation approach (Method 1) are evaluated using data obtained from permanent counting sites. Secondly, models to estimate the AADT by applying coefficients of variations or by using hourly or daily traffic volume are developed. Furthmore, estimation errors emerged from different models-regression models (Model 2 and 3) and neural network models (Moldel 4)- are evaluated and compared using monthly MAPE (Mean Absolute Percentage Error) indexes for two-directional two-lane and four-lane cases. It allows us to refine estimation errors of AADT with respect to geometric conditions of roads. The findings show that MAPE of four-lane highways is smaller than that of two-lane highways using same methods and Method 1 produces the smallest MAPE. In addition, Method 3 and Method 4 provide similar results.

Marshall stability has been used as the design criterion of asphalt mixture in Korea. However, the marshall stability is irrelevant to the rutting resistance and the mechanical characteristics. Therefore, the shortcoming of the Marshall test has been recognized and it is necessary to propose the new test method and design criteria. This study is aimed at developing new design criteria to evaluate rutting tendency of asphalt mixtures. The repeated creep test was conducted to determine accumulated rutting. Using the creep test, three distinct states are found in accumulated rutting. In special, the permanent axle deformation rate in the 2nd state increased constantly and was sensible to the resistance rutting in asphalt mixture. The creep test leads when mixture, with the condition of rutting factors, gets to the 3rd state creep range, failure is brought about. Major factors of rutting, aggregate (gradation, fine aggregate shape, coarse aggregate shape, percent flat and elongated particles) and asphalt grade (PG 64-22, PG 58-22) are considered to suggest design criteria to reduce rutting. The design criteria is based on the result of the creep test on the mixtures made up of extremely excellent, excellent, average, low average factors. The design criteria are based on creep modulus and slope resulted from performing repeated creep test.

Generally, risk management consists of risk identification, risk quantification, risk response and development, and risk control. This study is focused on the risk identification of major risk factors by analyzing the allocated measure of each risk factor. The study attempts a correlationship analysis by using the allocated measure and standard deviation through a questionnaire survey for the five construction phases. The analyzed results include a table for representing major risk factors which influence significantly to owner and contractor. And the study suggests some factors as common risk factors between owner and contractor. Those results can be used for classifying risk breakdown structure and for identifying risk factors in construction project.

This study proposes analysis and evaluation method of time series ultrasonic signal using extension chaos simulator for fusion joint part of polyethylene piping. Quantitatively characteristics of fusion joint part is analysed features extracted form time series. Trajectory changes in the attractor indicated a substantial difference in fractal characteristics. These differences in characteristics of fusion joint part enables the evaluation of unique characteristics of fusion joint part. In quantitative fractal feature extraction, feature values of 4.291 in the case of debonding and 3.694 in the case of bonding were proposed on the basis of fractal dimensions. In quantitative quadrant feature extraction, 1,306 point in the case of bonding (one quadrant) and 1,209 point (one quadrant) in the case of debonding were proposed on the basis of fractal dimensions. Proposed extension chaos simulator can be used for integrity evaluation of PE piping material which is in case of bonding or debonding

In these days of limited funding and increasing maintenance and construction costs, it is critical to maximize the use of available funds. However, too often funding decisions are based on inadequate preliminary estimates. The utilization of scarce resources is not maximized because accurate estimating methods are not available. This paper presents a methodology for creating preliminary estimating models for heavy construction projects. Road projects are used as a case study to present the methodology and examine the adequacy of the resulting model.

This study proposes weldability evaluation method of weld zone in rails using distance amplitude curve(DAC) and ultrasonic signals. For these purposes, the ultrasonic signals for defects(porosity and crack) of weld zone in rails are acquired in the type of time series data and echo strength. 4 zone and lines in the DAC indicated damage evaluation standard of weld zone in rails. The acquired ultrasonic signals agree flirty well with the mesured results of reference block and sensitivity block (defect location, beam propagation distance, echo strength, etc). The proposed DAC and fitness for service method in this study can be used for weldability evaluation of weld zone in rails.

It is necessary for preventing urban expansion and planing effective land using to establish a systematic urban development policy. An analysis of change detection and urban expansion has become a major national policy issue. This paper presented monitoring for effective development of the downtown area based on the change detection of urban expansion using multispectral images. MLC(Maximum Likelihood Classifier) of supervised classifier used fur change detection of urban expansion. As results, A MLC producted an average accuracy of 83.51% for six classifier scheme. Cropland category composed of in 1987 have fallen off to in 2000. But, residential, industrial and barren category was composed of about from . It shows that study area is changing over to industrial area from agricultural area.

Now, GPS equipment is known and generally used in the world. GPS equipment has been introduced as car navigation system. Car navigation system receives and analyses the signal from the GPS Satellite. Moving station and other informations are used to users with sound and graphic display for more comfortable and safe driving. In this study, we selected the road in a downtown as a model area. We obtained the WGS84 coordinates of the GPS satellite. This data is converted into the precise position data of car, using the precision coordinate transformation algorithm and map projection algorithm. We reproduced the course traveled by car on the digital map and analyzed deviation of car. With this method, we developed the linear interpolation algorithm of car position, and showed the car position on display using this algorithm. Also, we showed the precise car position with many voice information. We obtained the real-time voice information based on the analyzed the distance between object and car position.

Classification methods for multi-source remotely sensed data are widely developed, because multiple data sets exist for the same area. These approaches are acceptable in respect that image analysis using all accessible data sets is much better than that using a few data sets. This study aims to improve the classification accuracy of multi-source data using evidence theory which is implemented by recalculating the labelling probabilities through orthogonal sum values. Accuracy comparison between the evidential approach and conventional maximum likelihood classifiers reveals that overall accuracy and KAPPA index are improved in 8-12%, 0.11-0.14 respectively. The potential use of classification results is subject to classification accuracy. Therefore, the proposed classification method will be significant.

Applicability of satellite imagery has recently been diversified with the increase of spatial and spectral resolution. Complete exploitation of senor modeling of satellite is a prerequisite for better understanding of satellite imagery. Sensor modeling is the procedure to link relationship between the position of satellite image and that of real world. This is, therefore, one of geometric adjustment procedures between local ground coordinate and image coordinate. We exploited various sensor modeling methods in this study. We used two satellite imagery, SPOT and KOMPSAT, for the study. We applied these images for the sensor modeling. RFM (Rational Function Model) which does not depends on the properties of sensors and sensor modeling algorithm is applied to local cities (Chungyang and Busan) in Korea using SPOT and KOMPSAT. We compared the results of RFM with other sensor methods, especially orbit parameter model and time polynomial model. We got the pixel accuracy for RFM which was comparable with the accuracy of orbit parameter model (1 pixel) and that of time polynomial model (2 pixel).

To draw the map, the cadastral map and digital map were overlapped each other and a digital elevation model was made from the overlapped map. And finally the three-dimensional cadastral map was completed by inserting elevation into the existing cadastral boundary coordinates through the algorithm for interpolation and elevation extraction. In order to develop an optimum algorithm to extract elevation value of a cadastral boundary, the accuracy of the result obtained by the simultaneous application of range reciprocal weighted mean method and range square reciprocal weighted mean method was analysed by comparing the result with the actual measurement of the site. Three-dimensional cadastral map and information in the register were integrated based on GIS tool and a database for land information was constructed and finally a model for topographical information register was made, which includes wide-range kinds of land information and so may be used multi-purposedly. In conclusion, by three-dimensional cadastral map and a model for land topographical register, we can make it easy to assess land value and support making decisions in connection with various land development planning as well as load various kinds of information related with land and use as a basic drawing in building geographical information system.

Geo-Spatial information system (GSIS) has been emerging as the high-tech information system to support decision-making in landuse plan and several industry. It is important to process the uncertainty of data classification criteria and the inaccuracy of geographic boundary in spatial analysis using a GSIS. However, the spatial analysis of GSIS based on Boolean logic has limitation in solving these problems. Therefore, serious problems can be occurred if Boolean overlay of conventional GSIS is used in spatial analysis. This study deals with the fuzzy GSIS spatial analysis method (FSAM) that apply fuzzy set and the analytic hierarchy process (AHP) theory as an alternative of conventional GSIS overlay analysis. Also, the site assessment for new town development is carried out as a case study. As a result, the new method of GSIS spatial analysis based on AHP and fuzzy set theory is established and is proposed clearly. And, through the result of case study, it can confirm that this method copes effectively with the classification errors of spatial data and position errors from the boundary inaccuracy. In addition to this result, by the regression analysis using the property value of analysis layers and suitability score from the overlay operation of fuzzy classes, we can estimate a single membership function to individual spatial data.